Modern Hopfield energy identifies high-energy samples as more prone to intrinsic forgetting in continual learning, with effective energy-based replay validated in diffusion models.
Multiband VAE: Latent space alignment for knowledge consolidation in continual learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Continual Learning in Modern Hopfield Networks with an Application to Diffusion Models
Modern Hopfield energy identifies high-energy samples as more prone to intrinsic forgetting in continual learning, with effective energy-based replay validated in diffusion models.